Executive Order Number Nine, November 7, 2008

This Executive Order directs IFA to administer the allocation of additional tax-exempt bonding authority provided by the Disaster Relief Act, develop administrative rules to implement the allocation of this additional tax-exempt bonding authority, track the allocation of the additional tax-exempt bonding authority to ensure compliance with all applicable federal law, and provide all necessary reports to the IRS.

Executive Order Number Ten, December 22, 2008

This Executive Order aids the Governor to meet his Constitutional obligation to balance the state budget, announcing that he would order a 1.5 percent across-the-board reduction in state expenditures for the current fiscal year.

Executive Order Number Eleven, February 17, 2009

This Executive Order creates a task force on dependent care.

Study of the mayfly order Ephemeroptera (Insecta) in Brazil: a scienciometric review

Study of the mayfly order Ephemeroptera (Insecta) in Brazil: a scienciometric review. Despite an increase in the number of studies in recent years of the aquatic insect order Ephemeroptera (the mayflies) much still remains to be learnt. In order to identify the current state of knowledge of this group in Brazil, we performed a scienciometric analysis with the purpose of identifying the strong and weak points of Brazilian research into the group. Our research used the "Institute for Scientific Information - ISI" database and was based on the abstracts, titles and keywords of manuscripts published between 1992 and 2011. We selected the papers with the combination of the words "Ephemeroptera" and "Brazil*" based on a search in February 2012. We analyzed 92 articles, and noted a lack of studies in some Brazilian states, no specific studies about some families, and an absence of phylogenetic studies. To improve ecological studies, it is necessary to fine-tune taxonomic resolution. Moreover, there is a lack of studies investigating the environmental variables which influence the distribution of mayflies. Despite these gaps, if the rate of publication with mayflies proceeds at the same pace, we anticipate that many of these knowledge gaps will be closed.

Executive Order Number Twelve, April 14, 2009

This Executive Order made the creation of the Iowa Accountability and Transparency Board and the report of the State of Iowa's efforts to implement the AARA

Executive Order Number Thirteen, May 26, 2009

This Executive Order expects the State government expense reimbursements will be properly accounted for.

Variation in performance across Swiss mammography screening programmes: the influence of reading strategy and experience.

[Abstract] Reading volume and mammography screening performance appear positively correlated. Performance was compared across organised Swiss screening programmes, which target relatively small populations. Except for accreditation of 2nd readers radiologists (restrictive vs non-restrictive strategy), Swiss programmes have similar screening regimen/procedures and duration, which maximises comparability. Variation in performance was explored in order to improve mammography practice and optimise screening performance. Indicators of quality and effectiveness were evaluated for about 200,000 screens performed over 4 screening rounds in the 3 longest-standing Swiss cantonal programmes (of Vaud, Geneva and Valais). Interval cancers were identified by linkage with cancer registries records. Most European standards of performance were met with a favourable cancer stage shift. Several performance indicators showed substantial variation across programmes. In subsequent rounds, compared with programmes (Vaud and Geneva) which accredited few 2nd readers to increase their individual reading volume, proportions of in situ lesions and of small cancers (? 1cm) were one third lower and halved, respectively, and the proportion of advanced lesions (stage II+) nearly 50% higher in the programme without a restrictive selection strategy. Discrepancy in second-year proportional incidence of interval cancers appears to be multicausal. Differences in performance could partly be explained by a selective strategy for 2nd readers and a prior experience in service screening, but not by the levels of opportunistic screening and programme attendance. This study provides clues for enhancing mammography screening performance in low-volume Swiss programmes.

Atypical EPO profiles in anti-doping analyses

Résumé : Erythropoietin (EPO) is a glycoprotein hormone endogenously produced by the kidney, whose main physiological role is the stimulation of erythropoiesis. Since the beginning of the nineties, recombinant human EPO (rhEPO), a potent anti-anaemia treatment drug, has been manufactured by pharmaceutical industries. However, the erythropoiesis stimulating power of rhEPO was rapidly misused by unscrupulous athletes in order to improve their performances in endurance sports. Endogenous EPO has the same amino-acid backbone as most of recombinant forms; the molecules however differ through their respective glycosylation patterns. This difference constitutes the basis of the usual EPO screening test (IEF) developed in 2000 and still currently used in all anti-doping laboratories of the world. Nowadays, 3 EPO generations have been commercialized. The fight against EPO abuse is a continuous challenge for anti-doping laboratories. The diversity of recombinant EPO forms and the continuous development of new ones considerably confuse the identification of EPO doping. Several facets of this fight were investigated in this work. One of the limiting aspects of doping agents screening is the availability of positive samples. Therefore, 2nd and 3rd generation EPOS, namely NESP and C.E.R.A., were injected to healthy subjects in the frame of pilot clinical studies. These latter allowed to review the current EPO identification criteria defined by the World Anti-Doping Agency (WADA) in the case of NESP and to validate and implement a new assay targeting C.E.R.A. in human serum. Both studies resulted in the determination of the respective detection windows of NESP and C.E.R.A. in biological fluids. Following that, Dynepo, a 1st generation EPO presenting similarities with the endogenous form, was also in the centre of a similar clinical study. Our work aimed to overcome the actual identification criteria, which are not adapted to Dynpeo, and to propose an alternative pattern classification method based on the discriminant analysis of IEF EPO profiles. This method might be validated for other EPO forms in the future. The detection window of this molecule was also determined. Under particular conditions, confounding effects can complicate the identification of EPO in biological matrices. For example, athletes having performed a strenuous physical effort can excrete modified isoforms of endogenous EPO, making it very similar to some recombinant forms. Such phenomena, called effort urines, were reproduced under controlled conditions and, after characterization of effort EPO, an urinary biochemical marker was proposed to unequivocally identify effort urines. It also happens that EPO analyses fail to detect endogenous levels of EPO. Such profiles were thoroughly investigated and potential causes identified. Natural reasons relying on urine properties and test specificity were underlined, but the possible addition of adulterant agents in urine samples was also considered. Therefore, a simple biochemical assay targeting the suspected substances was set up. Our work was based on the characterization of atypical EPO profiles from different origins. Therefore, 3 EPO molecules representing the 3 generations of the drug and 2 confounding effects confusing the results interpretation were studied. These studies resulted in tangible applications for the laboratory, the best example of which being the C.E.R.A. assay, but also in scientific findings allowing to improve our comprehension of EPO doping in sport.

A Variant of Higher-Order Anti-Unification

We present a rule-based Huet’s style anti-unification algorithm for simply-typed lambda-terms in ɳ long β normal form, which computes a least general higher-order pattern generalization. For a pair of arbitrary terms of the same type, such a generalization always exists and is unique modulo α equivalence and variable renaming. The algorithm computes it in cubic time within linear space. It has been implemented and the code is freely available

Executive Order Number Fourteen, June 22, 2009

This Executive Order expects the State government to facilitate the effective and efficient delivery of services to constituents, governments ought to partner and and coordinate with non-profit community organizations.

Executive Order Number Fifteen, July 15, 2009

This Executive Order expects the State government to help more than 5,800 offenders released to Iowa communities each year, affecting public safety, public health, economic and community well-being and family relationships. Offenders re-entry initiatives involve collaborative partnerships amongst corrections, other agencies and the community.

Executive Order Number Sixteen, August 20, 2009

This Executive Order expects the State government to envision an economic future for the State of Iowa in which its citizens will leak the nation toward the clean, safe, unlimited, efficient job producing prosperity-inducing and environmentally friendly energies of the 21st Century (sometimes referred to as a "Green Economy').

Executive Order Number Seventeen, September 25, 2009

This Executive Order expects the State of Iowa executive agencies and Regent Institutions own, purchase, build and lease property, including office space, worth billions of dollars for educational, correctional, recreational, conservation, transportation, communication, public health, workforce and related public functions and the placement of state offices in historic central business districts "downtown" can strengthen and revitalize Iowa's cities and towns.

Executive Order Number Eighteen, September 25, 2009

The state Revenue Estimating Conference (REC) reduced its Fiscal Year 2009 net General Fund revenue estimate at the December 12, 2008, meeting by 1.6 percent from $6.151 billion to $6.052 billion.

Executive Order Number Nineteen, October 8, 2009

Orders the implementation of a 10% across-the-board cut to state government spending.